All Stories

  1. Working with AI Sound: Exploring the Future of Workplace AI Sound Technologies

    Article • June 2024, ACM (Association for Computing Machinery)

    Dr Thomas Deacon, Professor Mark D. Plumbley

  2. Acoustic Scene Classification Across Cities and Devices via Feature Disentanglement

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  3. Attention-Based End-to-End Differentiable Particle Filter for Audio Speaker Tracking

    Article • IEEE Open Journal of Signal Processing, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  4. Separation of the aortic and pulmonary components of the second heart sound via alternating optimization

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  5. Sound Event Detection: A tutorial

    Article • IEEE Signal Processing Magazine, September 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  6. Multi-Band Multi-Resolution Fully Convolutional Neural Networks for Singing Voice Separation

    Article • January 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  7. CAA-Net: Conditional Atrous CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification

    Article • IEEE Transactions on Multimedia, January 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  8. Sparse Analysis Model Based Dictionary Learning for Signal Declipping

    Article • IEEE Journal of Selected Topics in Signal Processing, January 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  9. Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification

    Article • July 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  10. Learning With Out-of-Distribution Data for Audio Classification

    Article • May 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  11. Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis

    Article • May 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  12. PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  13. Sound Event Detection of Weakly Labelled Data With CNN-Transformer and Automatic Threshold Optimization

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  14. Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data

    Article • November 2019, ACM (Association for Computing Machinery)

    Professor Mark D. Plumbley

  15. Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements

    Article • IEEE Transactions on Signal Processing, November 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  16. Weakly Labelled AudioSet Tagging With Attention Neural Networks

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, November 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  17. Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks

    Article • September 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  18. Information-Theoretic Approaches to Neural Network Learning

    Article • August 2019, Taylor & Francis

    Professor Mark D. Plumbley

  19. Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks

    Article • August 2019, International Joint Conferences on Artificial Intelligence

    Professor Mark D. Plumbley

  20. Acoustic Event Detection from Weakly Labeled Data Using Auditory Salience

    Article • May 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  21. Acoustic Scene Generation with Conditional Samplernn

    Article • May 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  22. Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes

    Article • May 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  23. Generalisation in Environmental Sound Classification: The ‘Making Sense of Sounds’ Data Set and Challenge

    Article • May 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  24. Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering

    Article • May 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  25. Sound Event Detection and Time–Frequency Segmentation from Weakly Labelled Data

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, April 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  26. Musical Source Separation: An Introduction

    Article • IEEE Signal Processing Magazine, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  27. Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy

    Article • January 2019, New York University

    Professor Mark D. Plumbley

  28. Sound Event Localization and Detection Using CRNN on Pairs of Microphones

    Article • January 2019, New York University

    Professor Mark D. Plumbley

  29. Predicting the perceived level of reverberation using machine learning

    Article • October 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  30. A Hierarchical Latent Mixture Model for Polyphonic Music Analysis

    Article • September 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  31. Raw Multi-Channel Audio Source Separation using Multi- Resolution Convolutional Auto-Encoders

    Article • September 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  32. A Contextual Study of Semantic Speech Editing in Radio Production

    Article • International Journal of Human-Computer Studies, July 2018, Elsevier

    Professor Mark D. Plumbley

  33. A Demonstration of Hierarchical Structure Usage in Expressive Timing Analysis by Model Selection Tests

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  34. PaperClip: A Digital Pen Interface for Semantic Speech Editing in Radio Production

    Article • Journal of the Audio Engineering Society, April 2018, Audio Engineering Society

    Professor Mark D. Plumbley

  35. Inexact Proximal Operators for <tex>$\ell_{p}$</tex>-Quasinorm Minimization

    Article • April 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  36. Orthogonality-Regularized Masked NMF for Learning on Weakly Labeled Audio Data

    Article • April 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  37. A Joint Separation-Classification Model for Sound Event Detection of Weakly Labelled Data

    Article • April 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  38. Audio Set Classification with Attention Model: A Probabilistic Perspective

    Article • April 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  39. BSS Eval or Peass? Predicting the Perception of Singing-Voice Separation

    Article • April 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  40. Large-Scale Weakly Supervised Audio Classification Using Gated Convolutional Neural Network

    Article • April 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  41. Synthesis of Images by Two-Stage Generative Adversarial Networks

    Article • April 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  42. Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, February 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley, Dr Emmanouil Benetos

  43. Malicious User Detection Based on Low-Rank Matrix Completion in Wideband Spectrum Sensing

    Article • IEEE Transactions on Signal Processing, January 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  44. Computational Analysis of Sound Scenes and Events

    Article • January 2018, Springer Science + Business Media

    Professor Mark D. Plumbley

  45. Consistent Dictionary Learning for Signal Declipping

    Article • January 2018, Springer Science + Business Media

    Professor Mark D. Plumbley

  46. Improving Reverberant Speech Separation with Binaural Cues Using Temporal Context and Convolutional Neural Networks

    Article • January 2018, Springer Science + Business Media

    Professor Mark D. Plumbley

  47. Latent Variable Analysis and Signal Separation

    Article • January 2018, Springer Science + Business Media

    Professor Mark D. Plumbley

  48. Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation

    Article • January 2018, Springer Science + Business Media

    Professor Mark D. Plumbley

  49. Supporting Audiography: Design of a System for Sentimental Sound Recording, Classification and Playback

    Article • January 2018, Springer Science + Business Media

    Professor Mark D. Plumbley

  50. Single channel audio source separation using convolutional denoising autoencoders

    Article • November 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  51. Graph-based clustering for identifying region of interest in eye tracker data analysis

    Article • October 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Vladimir Stankovic, Professor Mark D. Plumbley

  52. Binaural and log-power spectra features with deep neural networks for speech-noise separation

    Article • October 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  53. Approaches to Complex Sound Scene Analysis

    Article • September 2017, Springer Science + Business Media

    Professor Mark D. Plumbley, Dr Emmanouil Benetos

  54. Future Perspective

    Article • September 2017, Springer Science + Business Media

    Professor Mark D. Plumbley

  55. Introduction to Sound Scene and Event Analysis

    Article • September 2017, Springer Science + Business Media

    Professor Mark D. Plumbley

  56. Two-Stage Single-Channel Audio Source Separation Using Deep Neural Networks

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, September 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  57. Using deep neural networks to estimate tongue movements from speech face motion

    Article • August 2017, International Speech Communication Association

    Professor Mark D. Plumbley

  58. Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging

    Article • August 2017, International Speech Communication Association

    Professor Mark D. Plumbley

  59. Learning the Mapping Function from Voltage Amplitudes to Sensor Positions in 3D-EMA Using Deep Neural Networks

    Article • August 2017, International Speech Communication Association

    Professor Mark D. Plumbley

  60. Automatic music transcription using low rank non-negative matrix decomposition

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  61. Joint detection and classification convolutional neural network on weakly labelled bird audio detection

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  62. Masked non-negative matrix factorization for eire detection using weakly labeled data

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  63. Multivariate iterative hard thresholding for sparse decomposition with flexible sparsity patterns

    Article • August 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  64. Polyphonic Sound Event Tracking Using Linear Dynamical Systems

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, June 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley, Dr Emmanouil Benetos

  65. Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, June 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  66. Convolutional gated recurrent neural network incorporating spatial features for audio tagging

    Article • May 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  67. A greedy algorithm with learned statistics for sparse signal reconstruction

    Article • March 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  68. A joint detection-classification model for audio tagging of weakly labelled data

    Article • March 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  69. Assessment of musical noise using localization of isolated peaks in time-frequency domain

    Article • March 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  70. Fast tagging of natural sounds using marginal co-regularization

    Article • March 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  71. Discriminative Enhancement for Single Channel Audio Source Separation Using Deep Neural Networks

    Article • January 2017, Springer Science + Business Media

    Professor Mark D. Plumbley

  72. Psychophysical Evaluation of Audio Source Separation Methods

    Article • January 2017, Springer Science + Business Media

    Professor Mark D. Plumbley

  73. Automatic Environmental Sound Recognition: Performance Versus Computational Cost

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, November 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  74. Combining Mask Estimates for Single Channel Audio Source Separation Using Deep Neural Networks

    Article • September 2016, International Speech Communication Association

    Professor Mark D. Plumbley

  75. Evaluation of audio source separation models using hypothesis-driven non-parametric statistical methods

    Article • August 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  76. Wideband Spectrum Sensing on Real-Time Signals at Sub-Nyquist Sampling Rates in Single and Cooperative Multiple Nodes

    Article • IEEE Transactions on Signal Processing, June 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  77. Detection of overlapping acoustic events using a temporally-constrained probabilistic model

    Article • March 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley, Dr Emmanouil Benetos

  78. Non-Negative Group Sparsity with Subspace Note Modelling for Polyphonic Transcription

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, March 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  79. Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning

    Article • IEEE Transactions on Signal Processing, January 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  80. The Clustering of Expressive Timing Within a Phrase in Classical Piano Performances by Gaussian Mixture Models

    Article • January 2016, Springer Science + Business Media

    Professor Mark D. Plumbley

  81. Chime-home: A dataset for sound source recognition in a domestic environment

    Article • October 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  82. Detection and Classification of Acoustic Scenes and Events

    Article • IEEE Transactions on Multimedia, October 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley, Dr Emmanouil Benetos

  83. Acoustic Scene Classification: Classifying environments from the sounds they produce

    Article • IEEE Signal Processing Magazine, May 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  84. Event-based Multitrack Alignment using a Probabilistic Framework

    Article • Journal of New Music Research, April 2015, Taylor & Francis

    Professor Mark D. Plumbley

  85. A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments

    Article • April 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  86. Non-negative matrix factorisation incorporating greedy hellinger sparse coding applied to polyphonic music transcription

    Article • April 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  87. Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network

    Article • January 2015, Springer Science + Business Media

    Professor Mark D. Plumbley

  88. Efficient compressive spectrum sensing algorithm for M2M devices

    Article • December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  89. Multichannel High-Resolution NMF for Modeling Convolutive Mixtures of Non-Stationary Signals in the Time-Frequency Domain

    Article • IEEE/ACM Transactions on Audio Speech and Language Processing, November 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  90. Learning Incoherent Subspaces: Classification via Incoherent Dictionary Learning

    Article • Journal of Signal Processing Systems, August 2014, Springer Science + Business Media

    Professor Mark D. Plumbley

  91. Large‐scale analysis of frequency modulation in birdsong data bases

    Article • Methods in Ecology and Evolution, July 2014, Wiley

    Professor Mark D. Plumbley

  92. Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning

    Article • PeerJ, July 2014, PeerJ

    Professor Mark D. Plumbley

  93. Accounting for phase cancellations in non-negative matrix factorization using weighted distances

    Article • May 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  94. Improving instrument recognition in polyphonic music through system integration

    Article • May 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley, Dr Emmanouil Benetos

  95. Polyphonic piano transcription using non-negative Matrix Factorisation with group sparsity

    Article • May 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  96. Score-Informed Source Separation for Musical Audio Recordings: An overview

    Article • IEEE Signal Processing Magazine, May 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  97. Best Practices for Scientific Computing

    Article • PLoS Biology, January 2014, PLOS

    Mr Neil P Chue Hong, Professor Mark D. Plumbley

  98. Big Data for Musicology

    Article • January 2014, ACM (Association for Computing Machinery)

    Professor Mark D. Plumbley, Dr Emmanouil Benetos

  99. Dictionary learning via projected maximal exploration

    Article • December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  100. Learning overcomplete dictionaries with ℓ0-sparse Non-negative Matrix Factorisation

    Article • December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  101. Low-rank matrix completion based malicious user detection in cooperative spectrum sensing

    Article • December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  102. Detection and classification of acoustic scenes and events: An IEEE AASP challenge

    Article • October 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley, Dr Emmanouil Benetos

  103. Multichannel HR-NMF for modelling convolutive mixtures of non-stationary signals in the time-frequency domain

    Article • October 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  104. Learning incoherent subspaces for classification via supervised iterative projections and rotations

    Article • September 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  105. Structured sparsity using backwards elimination for Automatic Music Transcription

    Article • September 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  106. On Theorem 10 in “On Polar Polytopes and the Recovery of Sparse Representations” [Sep 07 3188-3195]

    Article • IEEE Transactions on Information Theory, August 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  107. Hearing the shape of a room

    Article • Proceedings of the National Academy of Sciences, July 2013, Proceedings of the National Academy of Sciences

    Professor Mark D. Plumbley

  108. Synchronizing Sequencing Software to a Live Drummer

    Article • Computer Music Journal, June 2013, The MIT Press

    Professor Mark D. Plumbley

  109. Automatic Music Transcription using row weighted decompositions

    Article • May 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  110. Behavior of greedy sparse representation algorithms on nested supports

    Article • May 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  111. Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering

    Article • May 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  112. Recognition of harmonic sounds in polyphonic audio using a missing feature approach

    Article • May 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  113. Score informed audio source separation using constrained nonnegative matrix factorization and score synthesis

    Article • May 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  114. Learning Incoherent Dictionaries for Sparse Approximation Using Iterative Projections and Rotations

    Article • IEEE Transactions on Signal Processing, April 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  115. The Serendiptichord: Reflections on the Collaborative Design Process between Artist and Researcher

    Article • Leonardo, February 2013, The MIT Press

    Professor Mark D. Plumbley

  116. Predictive Information in Gaussian Processes with Application to Music Analysis

    Article • January 2013, Springer Science + Business Media

    Professor Mark D. Plumbley

  117. Using Oracle Analysis for Decomposition-Based Automatic Music Transcription

    Article • January 2013, Springer Science + Business Media

    Professor Mark D. Plumbley

  118. A robust method for S1/S2 heart sounds detection without ecg reference based on music beat tracking

    Article • November 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  119. Denoising and segmentation of the second heart sound using matching pursuit

    Article • August 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  120. Cognitive music modelling: An information dynamics approach

    Article • May 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  121. Analysis-based sparse reconstruction with synthesis-based solvers

    Article • March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  122. Audio Inpainting

    Article • IEEE Transactions on Audio Speech and Language Processing, March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  123. INK-SVD: Learning incoherent dictionaries for sparse representations

    Article • March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  124. Instrumentation-based music similarity using sparse representations

    Article • March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  125. Sound Software: Towards software reuse in audio and music research

    Article • March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  126. Structured sparsity for automatic music transcription

    Article • March 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  127. A measure of statistical complexity based on predictive information with application to finite spin systems

    Article • Physics Letters A, January 2012, Elsevier

    Professor Mark D. Plumbley

  128. Dictionary Learning with Large Step Gradient Descent for Sparse Representations

    Article • January 2012, Springer Science + Business Media

    Professor Mark D. Plumbley

  129. Group Polytope Faces Pursuit for Recovery of Block-Sparse Signals

    Article • January 2012, Springer Science + Business Media

    Professor Mark D. Plumbley

  130. Performance Following: Real-Time Prediction of Musical Sequences Without a Score

    Article • IEEE Transactions on Audio Speech and Language Processing, January 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  131. Reliability-Informed Beat Tracking of Musical Signals

    Article • IEEE Transactions on Audio Speech and Language Processing, January 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  132. Learning Timbre Analogies from Unlabelled Data by Multivariate Tree Regression

    Article • Journal of New Music Research, December 2011, Taylor & Francis

    Professor Mark D. Plumbley

  133. On the disjointess of sources in music using different time-frequency representations

    Article • October 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  134. Onset Event Decoding Exploiting the Rhythmic Structure of Polyphonic Music

    Article • IEEE Journal of Selected Topics in Signal Processing, October 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  135. Fast Dictionary Learning for Sparse Representations of Speech Signals

    Article • IEEE Journal of Selected Topics in Signal Processing, September 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  136. Separating sources from sequentially acquired mixtures of heart signals

    Article • May 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  137. A constrained matching pursuit approach to audio declipping

    Article • May 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  138. Dictionary learning of convolved signals

    Article • May 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  139. Sound Source Separation

    Article • March 2011, Wiley

    Professor Mark D. Plumbley

  140. Measuring the Performance of Beat Tracking Algorithms Using a Beat Error Histogram

    Article • IEEE Signal Processing Letters, March 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  141. Delayed Decision-making in Real-time Beatbox Percussion Classification

    Article • Journal of New Music Research, September 2010, Taylor & Francis

    Professor Mark D. Plumbley

  142. Sparse Representations in Audio and Music: From Coding to Source Separation

    Article • Proceedings of the IEEE, June 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Thomas Blumensath, Professor Mark D. Plumbley

  143. An L1 criterion for dictionary learning by subspace identification

    Article • March 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  144. A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation

    Article • January 2010, Springer Science + Business Media

    Professor Mark D. Plumbley

  145. Gradient Polytope Faces Pursuit for large scale sparse recovery problems

    Article • January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  146. Non-negative mixtures

    Article • January 2010, Elsevier

    Professor Mark D. Plumbley

  147. Note onset detection using rhythmic structure

    Article • January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  148. Performance following: Tracking a performance without a score

    Article • January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  149. SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms

    Article • January 2010, Springer Science + Business Media

    Professor Mark D. Plumbley

  150. Evaluation of live human–computer music-making: Quantitative and qualitative approaches

    Article • International Journal of Human-Computer Studies, November 2009, Elsevier

    Professor Mark D. Plumbley

  151. Towards a musical beat emphasis function

    Article • October 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  152. Information dynamics: patterns of expectation and surprise in the perception of music

    Article • Connection Science, September 2009, Taylor & Francis

    Professor Mark D. Plumbley

  153. Sparse reconstruction for compressed sensing using Stagewise Polytope Faces Pursuit

    Article • July 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  154. Fast Multidimensional Entropy Estimation by $k$-d Partitioning

    Article • IEEE Signal Processing Letters, June 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  155. Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation

    Article • April 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  156. INFORMATION DYNAMICS AND THE PERCEPTION OF TEMPORAL STRUCTURE

    Article • April 2009, World Scientific Pub Co Pte Lt

    Professor Mark D. Plumbley

  157. Using phase linearity in frequency-domain ICA to tackle the permutation problem

    Article • April 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  158. Estimating Phase Linearity in the Frequency-Domain ICA Demixing Matrix

    Article • January 2009, Springer Science + Business Media

    Professor Mark D. Plumbley

  159. Extension of Sparse, Adaptive Signal Decompositions to Semi-blind Audio Source Separation

    Article • January 2009, Springer Science + Business Media

    Professor Mark D. Plumbley

  160. Efficient Bayesian inference for harmonic models via adaptive posterior factorization

    Article • Neurocomputing, December 2008, Elsevier

    Professor Mark D. Plumbley

  161. Audio analysis using sparse representations.

    Article • The Journal of the Acoustical Society of America, October 2008, Acoustical Society of America (ASA)

    Professor Mark D. Plumbley

  162. An adaptive stereo basis method for convolutive blind audio source separation

    Article • Neurocomputing, June 2008, Elsevier

    Professor Mark D. Plumbley

  163. Speech Separation Using an Adaptive Sparse Dictionary Algorithm

    Article • May 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  164. An adaptive orthogonal sparsifying transform for speech signals

    Article • March 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  165. Oracle estimation of adaptive cosine packet transforms for underdetermined audio source separation

    Article • March 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  166. Theorems on Positive Data: On the Uniqueness of NMF

    Article • Computational Intelligence and Neuroscience, January 2008, Hindawi Publishing Corporation

    Professor Mark D. Plumbley

  167. On Polar Polytopes and the Recovery of Sparse Representations

    Article • IEEE Transactions on Information Theory, September 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  168. Audio source separation with a signal-adaptive local cosine transform

    Article • Signal Processing, August 2007, Elsevier

    Professor Mark D. Plumbley

  169. Oracle estimators for the benchmarking of source separation algorithms

    Article • Signal Processing, August 2007, Elsevier

    Professor Mark D. Plumbley

  170. Low Bit-Rate Object Coding of Musical Audio Using Bayesian Harmonic Models

    Article • IEEE Transactions on Audio Speech and Language Processing, May 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  171. Context-Dependent Beat Tracking of Musical Audio

    Article • IEEE Transactions on Audio Speech and Language Processing, March 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  172. B-Keeper

    Article • January 2007, ACM (Association for Computing Machinery)

    Professor Mark D. Plumbley

  173. Blind Source Separation using Space–Time Independent Component Analysis

    Article • January 2007, Springer Science + Business Media

    Professor Mark D. Plumbley

  174. Flag Manifolds for Subspace ICA Problems

    Article • January 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  175. Geometry and Manifolds for Independent Component Analysis

    Article • January 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  176. Independent Component Analysis and Signal Separation

    Article • January 2007, Springer Science + Business Media

    Professor Mark D. Plumbley

  177. On the Use of Entropy for Beat Tracking Evaluation

    Article • January 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  178. Real-time beat-synchronous audio effects

    Article • January 2007, ACM (Association for Computing Machinery)

    Professor Mark D. Plumbley

  179. Information theory and sensory perception

    Article • October 2006, WITPRESS LTD.

    Professor Mark D. Plumbley

  180. Fast Factorization-Based Inference for Bayesian Harmonic Models

    Article • September 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  181. Sparse representations of polyphonic music

    Article • Signal Processing, March 2006, Elsevier

    Dr Thomas Blumensath, Professor Mark D. Plumbley

  182. Recovery of Sparse Representations by Polytope Faces Pursuit

    Article • January 2006, Springer Science + Business Media

    Professor Mark D. Plumbley

  183. Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis

    Article • January 2006, Springer Science + Business Media

    Professor Mark D. Plumbley

  184. Riemannian Optimization Method on Generalized Flag Manifolds for Complex and Subspace ICA

    Article • January 2006, American Institute of Physics

    Professor Mark D. Plumbley

  185. Single-Channel Mixture Decomposition Using Bayesian Harmonic Models

    Article • January 2006, Springer Science + Business Media

    Professor Mark D. Plumbley

  186. Sparse Coding for Convolutive Blind Audio Source Separation

    Article • January 2006, Springer Science + Business Media

    Professor Mark D. Plumbley

  187. Unsupervised Analysis of Polyphonic Music by Sparse Coding

    Article • IEEE Transactions on Neural Networks, January 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  188. Geometrical methods for non-negative ICA: Manifolds, Lie groups and toral subalgebras

    Article • Neurocomputing, August 2005, Elsevier

    Professor Mark D. Plumbley

  189. Beat tracking with a two state model [music applications]

    Article • January 2005, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  190. Blind Separation of Positive Sources by Globally Convergent Gradient Search

    Article • Neural Computation, September 2004, The MIT Press

    Professor Mark D. Plumbley

  191. A "nonnegative PCA" algorithm for independent component analysis

    Article • IEEE Transactions on Neural Networks, January 2004, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  192. Application of Geometric Dependency Analysis to the Separation of Convolved Mixtures

    Article • January 2004, Springer Science + Business Media

    Professor Mark D. Plumbley

  193. Lie Group Methods for Optimization with Orthogonality Constraints

    Article • January 2004, Springer Science + Business Media

    Professor Mark D. Plumbley

  194. Optimization Using Fourier Expansion over a Geodesic for Non-negative ICA

    Article • January 2004, Springer Science + Business Media

    Professor Mark D. Plumbley

  195. Algorithms for nonnegative independent component analysis

    Article • IEEE Transactions on Neural Networks, May 2003, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  196. Automatic Music Transcription and Audio Source Separation

    Article • Cybernetics & Systems, September 2002, Taylor & Francis

    Professor Mark D. Plumbley

  197. Conditions for nonnegative independent component analysis

    Article • IEEE Signal Processing Letters, June 2002, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  198. Do cortical maps adapt to optimize information density?

    Article • Network Computation in Neural Systems, February 1999, Taylor & Francis

    Professor Mark D. Plumbley

  199. Do cortical maps adapt to optimize information density?

    Article • Network Computation in Neural Systems, January 1999, Taylor & Francis

    Professor Mark D. Plumbley

  200. Maximizing information about a noisy signal with a single non-linear neuron

    Article • January 1999, the Institution of Engineering and Technology (the IET)

    Professor Mark D. Plumbley

  201. Designing Neural Networks using a Genetic Rule-based System

    Article • January 1998, Springer Science + Business Media

    Professor Mark D. Plumbley

  202. Unsupervised neural network learning procedures for feature extraction and classification

    Article • Applied Intelligence, July 1996, Springer Science + Business Media

    Professor Mark D. Plumbley

  203. Information processing in negative feedback neural networks

    Article • Network Computation in Neural Systems, May 1996, Taylor & Francis

    Professor Mark D. Plumbley

  204. Information processing in negative feedback neural networks

    Article • Network Computation in Neural Systems, January 1996, Taylor & Francis

    Professor Mark D. Plumbley

  205. Lyapunov functions for convergence of principal component algorithms

    Article • Neural Networks, January 1995, Elsevier

    Professor Mark D. Plumbley

  206. Analysis of an Unsupervised Indirect Feedback Network

    Article • January 1994, Springer Science + Business Media

    Professor Mark D. Plumbley

  207. Generation and adaptation of neural networks by evolutionary techniques (GANNET)

    Article • Neural Computing and Applications, March 1993, Springer Science + Business Media

    Professor Mark D. Plumbley, rwp@eng.cam.ac.uk Richard W Prager

  208. Approximating Optimal Information Transmission using Local Hebbian Algorithms in a Double Feedback Loop

    Article • January 1993, Springer Science + Business Media

    Professor Mark D. Plumbley

  209. Efficient information transfer and anti-Hebbian neural networks

    Article • Neural Networks, January 1993, Elsevier

    Professor Mark D. Plumbley

  210. Information Theory and Neural Networks

    Article • January 1993, Elsevier

    Professor Mark D. Plumbley

  211. Direct Approaches to Improving the Robustness of Multilayer Neural Networks

    Article • January 1992, Elsevier

    Professor Mark D. Plumbley

  212. The effect of receptor signal-to-noise levels on optimal filtering in a sensory system

    Article • January 1991, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  213. Sensory adaptation: an information-theoretic viewpoint

    Article • January 1989, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  214. Musical audio analysis using sparse representations

    Article • Springer Science + Business Media

    Dr Thomas Blumensath, Professor Mark D. Plumbley

  215. Audio Source Separation using Sparse Representations

    Article • IGI Global

    Professor Mark D. Plumbley

  216. Probabilistic Modeling Paradigms for Audio Source Separation

    Article • IGI Global

    Professor Mark D. Plumbley

  217. Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis

    Article • Springer Science + Business Media

    Professor Mark D. Plumbley

  218. Dictionary Learning for L1-Exact Sparse Coding

    Article • Springer Science + Business Media

    Professor Mark D. Plumbley

  219. The Role of High Frequencies in Convolutive Blind Source Separation of Speech Signals

    Article • Springer Science + Business Media

    Professor Mark D. Plumbley

  220. A prototype system for object coding of musical audio

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  221. Identification of dental bacteria using statistical and neural approaches

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley

  222. Information and Density and Cortical Magnification Factors

    Article • Cambridge University Press

    Professor Mark D. Plumbley

  223. Communications and neural networks: theory and practice

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Mark D. Plumbley